Salman Taherian

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INTRODUCTION Human body acceleration is often used as an indicator of daily physical activity in epidemiological research. Raw acceleration signals contain three basic components: movement, gravity, and noise. Separation of these becomes increasingly difficult during rotational movements. We aimed to evaluate five different methods (metrics) of processing(More)
The accelerometer devices as traditionally used in the epidemiological field for physical activity monitoring (e.g. Actigraph, Actical, and RT3) provide manufacturer-dependent output values called counts that are computed by obscure and proprietary signal processing techniques. This lack of transparency poses a challenge for comparison of historical(More)
Energy consumption is largely studied in the context of different environments, such as domestic, corporate, industrial, and public sectors. In this paper, we discuss two environments, households and office spaces, where <i>people</i> have an especially strong impact on energy demand and usage. We describe an energy monitoring system which supports(More)
Research has shown that alternating the routes in wireless sensor networks, can extend the network’s lifetime and increase communication savings. Many proposed data dissemination protocols, however, establish paths that guide data on a hop-level basis from sources to sinks. In this paper, we explain why such a tight-coupling (between the data dissemination(More)
This paper describes the design, implementation and deployment of a wireless sensor system for athletes. The system is designed to profile sprints based on input from on-body sensors that are wirelessly connected to a nearby infrastructure. We discuss the choice and use of inexpensive Force Sensitive Resistors (FSRs) to measure foot event timings and(More)
Publish/subscribe systems have been extensively studied in the context of distributed information-based systems, and have proven scalable in information-dissemination for many distributed applications that have motivated the research. With the emergence of sensor-based applications and sensor networks, researchers have proposed novel publish/subscribe(More)
With the increased realisation of the benefits of studying environmental data, sensor networks are rapidly scaling in size, heterogeneity of data, and applications. In this paper, we present a State-based Publish/Subscribe (SPS) framework for sensor systems with many distributed and independent application clients. SPS provides a state-based information(More)
We study the problem of building low-cost city-wide location tracking systems with the intention to provide a platform for large-scale human mobility data collection. We take the city-bikes as our first target, motivated by several social networking applications, and choose Cambridge in the UK as our pilot case. We highlight the main application(More)